- Florian Krebs18,
- Georg Thallinger18,
- Helmut Neuschmied18,
- Franz Graf18,
- Georg Huber19,
- Kurt Fallast19,
- Peter Vertal20 &
- …
- Eduard Kolla20
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Abstract
In this paper, we present and evaluate a system that automatically identifies hazardous traffic situations using visual and acoustic sensors. The system has been installed at three locations in Austria and several months of audio and video data have been analyzed. We evaluate the accuracy of the employed data analysis algorithms as well as the usefulness of the detected events for the overall task of assessing the risk potential of a road intersection. Our results show that the long-term analysis made possible by the proposed system leads to a better understanding of the risk potential of traffic areas, and can finally serve as a basis for defining and prioritizing improvements.
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Acknowledgements
This research was partially funded by the Austrian Research Promotion Agency (FFG) within the program “Mobilität der Zukunft”.
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Authors and Affiliations
Joanneum Research, Graz, Austria
Florian Krebs, Georg Thallinger, Helmut Neuschmied & Franz Graf
Planum, Graz, Austria
Georg Huber & Kurt Fallast
University of Žilina, Žilina, Slovakia
Peter Vertal & Eduard Kolla
- Florian Krebs
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- Georg Thallinger
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- Helmut Neuschmied
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- Peter Vertal
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Correspondence toFlorian Krebs.
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Editors and Affiliations
ISCTE-IUL, Lisbon, Portugal
Ana Lúcia Martins
ISCTE-IUL, Lisbon, Portugal
Joao Carlos Ferreira
University of Pisa, Pisa, Italy
Alexander Kocian
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Krebs, F.et al. (2020). Evaluation of SIMMARC: An Audiovisual System for the Detection of Near-Miss Accidents. In: Martins, A., Ferreira, J., Kocian, A. (eds) Intelligent Transport Systems. From Research and Development to the Market Uptake. INTSYS 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 310. Springer, Cham. https://doi.org/10.1007/978-3-030-38822-5_13
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